The seminar will begin with Kerli Ilves’ overview of personality genomics and causal associations with health.

Gerly Tamm will then demonstrate the predictive abilities of polygenic scores in predicting mental health, and whether stressful life events change those associations.

Birgit Malken will combine both genomic and phenotypic machine learning models to find predictors of successful weight loss.

Kari Kuulman is on a similar quest, synthesizing weight loss predictors from review papers.